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A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

ISPRS journal of photogrammetry and remote sensing, 2018-10, Vol.144, p.325-340

2018

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Nominal 30-M Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine

Remote sensing (Basel, Switzerland), 2017-10, Vol.9 (10), p.1065

2017

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Global Land Cover Mapping: A Review and Uncertainty Analysis

Remote Sensing, 2014-12, Vol.6 (12), p.12070-12093

2014

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A Comparison of Multi-Temporal RGB and Multispectral UAS Imagery for Tree Species Classification in Heterogeneous New Hampshire Forests

Remote sensing (Basel, Switzerland), 2021-07, Vol.13 (13), p.2631

2021

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Monitoring Fine-Scale Forest Health Using Unmanned Aerial Systems (UAS) Multispectral Models

Remote sensing (Basel, Switzerland), 2021-12, Vol.13 (23), p.4873

2021

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Estimating Primary Forest Attributes and Rare Community Characteristics Using Unmanned Aerial Systems (UAS): An Enrichment of Conventional Forest Inventories

Remote sensing (Basel, Switzerland), 2021-08, Vol.13 (15), p.2971

2021

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Accuracy Assessment of Global Food Security-Support Analysis Data (GFSAD) Cropland Extent Maps Produced at Three Different Spatial Resolutions

Remote sensing (Basel, Switzerland), 2018-11, Vol.10 (11), p.1800

2018

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Mapping and Monitoring Forest Cover

Forests, 2021-09, Vol.12 (9), p.1184

Congalton, Russell G.

2021

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Individual Tree Crown Delineation from UAS Imagery Based on Region Growing and Growth Space Considerations

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (15), p.2363

2020

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Evaluating the Impacts of Flying Height and Forward Overlap on Tree Height Estimates Using Unmanned Aerial Systems

Forests, 2022-09, Vol.13 (9), p.1462

2022

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Using Imagery Collected by an Unmanned Aerial System to Monitor Cyanobacteria in New Hampshire, USA, Lakes

Remote sensing (Basel, Switzerland), 2023-05, Vol.15 (11), p.2839

2023

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A Comparison of Methods for Determining Forest Composition from High-Spatial-Resolution Remotely Sensed Imagery

Forests, 2021-09, Vol.12 (9), p.1290

2021

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Evaluating the Capability of Unmanned Aerial System (UAS) Imagery to Detect and Measure the Effects of Edge Influence on Forest Canopy Cover in New England

Forests, 2021-09, Vol.12 (9), p.1252

2021

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Early Detection of Southern Pine Beetle Attack by UAV-Collected Multispectral Imagery

Remote sensing (Basel, Switzerland), 2024-07, Vol.16 (14), p.2608

2024

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Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, Third Edition

3rd edition., 2019

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A Comparison of Unpiloted Aerial System Hardware and Software for Surveying Fine-Scale Oak Health in Oak–Pine Forests

Forests, 2024-04, Vol.15 (4), p.706

2024

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Individual Tree Crown Delineation From UAS Imagery Based on Region Growing by Over-Segments With a Competitive Mechanism

IEEE transactions on geoscience and remote sensing, 2022, Vol.60, p.1-11

2022

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Assessing the Accuracy of Remotely Sensed Data: Principles and Practices

Third edition., 2019

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A Comparison of Urban Mapping Methods Using High-Resolution Digital Imagery

Photogrammetric engineering and remote sensing, 2003-09, Vol.69 (9), p.963-972

2003

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The Impact of Mapping Error on the Performance of Upscaling Agricultural Maps

Remote sensing (Basel, Switzerland), 2017-09, Vol.9 (9), p.901

2017

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Post‐socialist cropland changes and abandonment in Mongolia

Land degradation & development, 2018-09, Vol.29 (9), p.2808-2821

2018

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Issues in Unmanned Aerial Systems (UAS) Data Collection of Complex Forest Environments

Remote sensing (Basel, Switzerland), 2018-06, Vol.10 (6), p.908

2018

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Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data

International journal of digital earth, 2017-09, Vol.10 (9), p.944-977

2017

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Using a simulation analysis to evaluate the impact of crop mapping error on crop area estimation from stratified sampling

International journal of digital earth, 2019-09, Vol.12 (9), p.1046-1066

2019

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Modelling associations between public understanding, engagement and forest conditions in the Inland Northwest, USA

PloS one, 2015-02, Vol.10 (2), p.e0117975

2015

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A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform

Nominal 30-M Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine

Global Land Cover Mapping: A Review and Uncertainty Analysis

A Comparison of Multi-Temporal RGB and Multispectral UAS Imagery for Tree Species Classification in Heterogeneous New Hampshire Forests

Monitoring Fine-Scale Forest Health Using Unmanned Aerial Systems (UAS) Multispectral Models

Estimating Primary Forest Attributes and Rare Community Characteristics Using Unmanned Aerial Systems (UAS): An Enrichment of Conventional Forest Inventories

Accuracy Assessment of Global Food Security-Support Analysis Data (GFSAD) Cropland Extent Maps Produced at Three Different Spatial Resolutions

Mapping and Monitoring Forest Cover

Individual Tree Crown Delineation from UAS Imagery Based on Region Growing and Growth Space Considerations

Evaluating the Impacts of Flying Height and Forward Overlap on Tree Height Estimates Using Unmanned Aerial Systems

Using Imagery Collected by an Unmanned Aerial System to Monitor Cyanobacteria in New Hampshire, USA, Lakes

A Comparison of Methods for Determining Forest Composition from High-Spatial-Resolution Remotely Sensed Imagery

Evaluating the Capability of Unmanned Aerial System (UAS) Imagery to Detect and Measure the Effects of Edge Influence on Forest Canopy Cover in New England

Early Detection of Southern Pine Beetle Attack by UAV-Collected Multispectral Imagery

Assessing the Accuracy of Remotely Sensed Data: Principles and Practices, Third Edition

A Comparison of Unpiloted Aerial System Hardware and Software for Surveying Fine-Scale Oak Health in Oak–Pine Forests

Individual Tree Crown Delineation From UAS Imagery Based on Region Growing by Over-Segments With a Competitive Mechanism

Assessing the Accuracy of Remotely Sensed Data: Principles and Practices

A Comparison of Urban Mapping Methods Using High-Resolution Digital Imagery

The Impact of Mapping Error on the Performance of Upscaling Agricultural Maps

Post‐socialist cropland changes and abandonment in Mongolia

Issues in Unmanned Aerial Systems (UAS) Data Collection of Complex Forest Environments

Spectral matching techniques (SMTs) and automated cropland classification algorithms (ACCAs) for mapping croplands of Australia using MODIS 250-m time-series (2000-2015) data

Using a simulation analysis to evaluate the impact of crop mapping error on crop area estimation from stratified sampling

Modelling associations between public understanding, engagement and forest conditions in the Inland Northwest, USA

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